IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v271y2023ics0360544223004152.html
   My bibliography  Save this article

A techno-economic assessment of waste oil biodiesel blends for automotive applications in urban areas: Case of India

Author

Listed:
  • Jeyaseelan, Thangaraja
  • El Samad, Tala
  • Rajkumar, Sundararajan
  • Chatterjee, Abhay
  • Al-Zaili, Jafar

Abstract

The effects of greenhouse gas emissions, urban air pollution, and rising transport fuel prices, on the low-income capita in India, necessitate appropriate measures to ensure commodities are sustainably available. This paper presents a study whereby biodiesel blends produced from waste cooking oil are optimised for use in urban medium-duty commercial vehicles, accounting for factors of production capacity, economics, and approximated engine characteristics. An artificial neural network model, trained with experimental data, is used to predict performance, combustion, and emission parameters. The results for various biodiesel blends are applied to a standard driving cycle to obtain variations in key factors. A multi objective optimisation is carried out with engine operation parameters to arrive at optimised biodiesel blends varying between 25% and 81% based on different criteria such as minimising fuel cost, enhancing engine efficiency, and reducing emissions. Considerations when choosing blend concentration are discussed in light of different governmental targets.

Suggested Citation

  • Jeyaseelan, Thangaraja & El Samad, Tala & Rajkumar, Sundararajan & Chatterjee, Abhay & Al-Zaili, Jafar, 2023. "A techno-economic assessment of waste oil biodiesel blends for automotive applications in urban areas: Case of India," Energy, Elsevier, vol. 271(C).
    • Handle: RePEc:eee:energy:v:271:y:2023:i:c:s0360544223004152
    DOI: 10.1016/j.energy.2023.127021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223004152
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.127021?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ajanovic, Amela & Haas, Reinhard, 2014. "On the future prospects and limits of biofuels in Brazil, the US and EU," Applied Energy, Elsevier, vol. 135(C), pages 730-737.
    2. Marco Castellini & Stefano Ubertini & Diego Barletta & Ilaria Baffo & Pietro Buzzini & Marco Barbanera, 2021. "Techno-Economic Analysis of Biodiesel Production from Microbial Oil Using Cardoon Stalks as Carbon Source," Energies, MDPI, vol. 14(5), pages 1-21, March.
    3. Uslu, Samet & Celik, Mehmet, 2023. "Response surface methodology-based optimization of the amount of cerium dioxide (CeO2) to increase the performance and reduce emissions of a diesel engine fueled by cerium dioxide/diesel blends," Energy, Elsevier, vol. 266(C).
    4. Simsek, Suleyman & Uslu, Samet & Simsek, Hatice, 2022. "Proportional impact prediction model of animal waste fat-derived biodiesel by ANN and RSM technique for diesel engine," Energy, Elsevier, vol. 239(PD).
    5. Outili, Nawel & Kerras, Halima & Nekkab, Chahra & Merouani, Rayane & Meniai, Abdesslam Hassen, 2020. "Biodiesel production optimization from waste cooking oil using green chemistry metrics," Renewable Energy, Elsevier, vol. 145(C), pages 2575-2586.
    6. Mujtaba, M.A. & Masjuki, H.H. & Kalam, M.A. & Ong, Hwai Chyuan & Gul, M. & Farooq, M. & Soudagar, Manzoore Elahi M. & Ahmed, Waqar & Harith, M.H. & Yusoff, M.N.A.M., 2020. "Ultrasound-assisted process optimization and tribological characteristics of biodiesel from palm-sesame oil via response surface methodology and extreme learning machine - Cuckoo search," Renewable Energy, Elsevier, vol. 158(C), pages 202-214.
    7. Rajkumar, Sundararajan & Das, Arnab & Thangaraja, Jeyaseelan, 2022. "Integration of artificial neural network, multi-objective genetic algorithm and phenomenological combustion modelling for effective operation of biodiesel blends in an automotive engine," Energy, Elsevier, vol. 239(PA).
    8. Janajreh, Isam & ElSamad, Tala & Noorul Hussain, Mohammed, 2017. "Intensification of transesterification via sonication numerical simulation and sensitivity study," Applied Energy, Elsevier, vol. 185(P2), pages 2151-2159.
    9. Babu, D. & Thangarasu, Vinoth & Ramanathan, Anand, 2020. "Artificial neural network approach on forecasting diesel engine characteristics fuelled with waste frying oil biodiesel," Applied Energy, Elsevier, vol. 263(C).
    10. Sakthivel, R. & Ramesh, K. & Purnachandran, R. & Mohamed Shameer, P., 2018. "A review on the properties, performance and emission aspects of the third generation biodiesels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2970-2992.
    11. Haseeb Yaqoob & Yew Heng Teoh & Farooq Sher & Muhammad Umer Farooq & Muhammad Ahmad Jamil & Zareena Kausar & Noor Us Sabah & Muhammad Faizan Shah & Hafiz Zia Ur Rehman & Atiq Ur Rehman, 2021. "Potential of Waste Cooking Oil Biodiesel as Renewable Fuel in Combustion Engines: A Review," Energies, MDPI, vol. 14(9), pages 1-20, April.
    12. Janbarari, Seyed Reza & Ahmadian Behrooz, Hesam, 2020. "Optimal and robust synthesis of the biodiesel production process using waste cooking oil from different feedstocks," Energy, Elsevier, vol. 198(C).
    13. Uslu, Samet & Simsek, Suleyman & Simsek, Hatice, 2023. "RSM modeling of different amounts of nano-TiO2 supplementation to a diesel engine running with hemp seed oil biodiesel/diesel fuel blends," Energy, Elsevier, vol. 266(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aghababaeian, Shiva & Beygzadeh, Mojtaba & Dehghan, Maziar & Halek, Farah-Sadat & Aminy, Mohammad, 2024. "Energy and economic aspects of efficient radiative heating for biodiesel production: Prospects and challenges of using solid magnetic CaO/CoFe2O4 nano-catalyst," Energy, Elsevier, vol. 289(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Oza, Suvik & Kodgire, Pravin & Kachhwaha, Surendra Singh & Lam, Man Kee & Yusup, Suzana & Chai, Yee Ho & Rokhum, Samuel Lalthazuala, 2024. "A review on sustainable and scalable biodiesel production using ultra-sonication technology," Renewable Energy, Elsevier, vol. 226(C).
    2. Jain, Akshay & Bora, Bhaskor Jyoti & Kumar, Rakesh & Sharma, Prabhakar & Deka, Hiranya, 2023. "Theoretical potential estimation and multi-objective optimization of Water Hyacinth (Eichhornia Crassipes) biodiesel powered diesel engine at variable injection timings," Renewable Energy, Elsevier, vol. 206(C), pages 514-530.
    3. Raj, Reetu & Tirkey, Jeewan Vachan & Jena, Priyaranjan & Prajapati, Lawalesh Kumar, 2024. "Comparative analysis of Gasifier-CI engine performance and emissions characteristics using diesel with producer gas derived from coal– briquette-coconut shell-mahua feedstock and its blends," Energy, Elsevier, vol. 293(C).
    4. Wenbo Ai & Haeng Muk Cho, 2024. "Predictive Models for Biodiesel Performance and Emission Characteristics in Diesel Engines: A Review," Energies, MDPI, vol. 17(19), pages 1-25, September.
    5. Muhammad Usman & Haris Hussain & Fahid Riaz & Muneeb Irshad & Rehmat Bashir & Muhammad Haris Shah & Adeel Ahmad Zafar & Usman Bashir & M. A. Kalam & M. A. Mujtaba & Manzoore Elahi M. Soudagar, 2021. "Artificial Neural Network Led Optimization of Oxyhydrogen Hybridized Diesel Operated Engine," Sustainability, MDPI, vol. 13(16), pages 1-24, August.
    6. Gad, M.S. & Uysal, Cuneyt & El-Shafay, A.S. & Ağbulut, Ümit, 2024. "Exergetic and exergoeconomic assessments of a diesel engine fuelled with waste chicken fat biodiesel-diesel blends," Energy, Elsevier, vol. 293(C).
    7. Zahedi, Ali Reza & Mirnezami, Seyed Abolfazl, 2020. "Experimental analysis of biomass to biodiesel conversion using a novel renewable combined cycle system," Renewable Energy, Elsevier, vol. 162(C), pages 1177-1194.
    8. Gavaskar, T. & Ramanan M, Venkata & Arun, K. & Arivazhagan, S., 2023. "The combined effect of green synthesized nitrogen-doped carbon quantum dots blended jackfruit seed biodiesel and acetylene gas tested on the dual fuel engine," Energy, Elsevier, vol. 275(C).
    9. Jarosław Ziółkowski & Mateusz Oszczypała & Jerzy Małachowski & Joanna Szkutnik-Rogoż, 2021. "Use of Artificial Neural Networks to Predict Fuel Consumption on the Basis of Technical Parameters of Vehicles," Energies, MDPI, vol. 14(9), pages 1-23, May.
    10. Krishnamoorthi, M. & Malayalamurthi, R. & Sakthivel, R., 2019. "Optimization of compression ignition engine fueled with diesel - chaulmoogra oil - diethyl ether blend with engine parameters and exhaust gas recirculation," Renewable Energy, Elsevier, vol. 134(C), pages 579-602.
    11. Iftikhar Ahmad & Adil Sana & Manabu Kano & Izzat Iqbal Cheema & Brenno C. Menezes & Junaid Shahzad & Zahid Ullah & Muzammil Khan & Asad Habib, 2021. "Machine Learning Applications in Biofuels’ Life Cycle: Soil, Feedstock, Production, Consumption, and Emissions," Energies, MDPI, vol. 14(16), pages 1-27, August.
    12. S. Charan Kumar & Amit Kumar Thakur & J. Ronald Aseer & Sendhil Kumar Natarajan & Rajesh Singh & Neeraj Priyadarshi & Bhekisipho Twala, 2022. "An Experimental Analysis and ANN Based Parameter Optimization of the Influence of Microalgae Spirulina Blends on CI Engine Attributes," Energies, MDPI, vol. 15(17), pages 1-19, August.
    13. Can, Özer & Baklacioglu, Tolga & Özturk, Erkan & Turan, Onder, 2022. "Artificial neural networks modeling of combustion parameters for a diesel engine fueled with biodiesel fuel," Energy, Elsevier, vol. 247(C).
    14. Elahi, Ehsan & Zhang, Zhixin & Khalid, Zainab & Xu, Haiyun, 2022. "Application of an artificial neural network to optimise energy inputs: An energy- and cost-saving strategy for commercial poultry farms," Energy, Elsevier, vol. 244(PB).
    15. Benvenutti, Lívia M. & Uriona-Maldonado, Mauricio & Campos, Lucila M.S., 2019. "The impact of CO2 mitigation policies on light vehicle fleet in Brazil," Energy Policy, Elsevier, vol. 126(C), pages 370-379.
    16. Cédric Decarpigny & Abdulhadi Aljawish & Cédric His & Bertrand Fertin & Muriel Bigan & Pascal Dhulster & Michel Millares & Rénato Froidevaux, 2022. "Bioprocesses for the Biodiesel Production from Waste Oils and Valorization of Glycerol," Energies, MDPI, vol. 15(9), pages 1-30, May.
    17. Rochelle, David & Najafi, Hamidreza, 2019. "A review of the effect of biodiesel on gas turbine emissions and performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 129-137.
    18. Gurunathan Manikandan & P. Rajesh Kanna & Dawid Taler & Tomasz Sobota, 2023. "Review of Waste Cooking Oil (WCO) as a Feedstock for Biofuel—Indian Perspective," Energies, MDPI, vol. 16(4), pages 1-17, February.
    19. Marta Ramos & Ana Paula Soares Dias & Jaime Filipe Puna & João Gomes & João Carlos Bordado, 2019. "Biodiesel Production Processes and Sustainable Raw Materials," Energies, MDPI, vol. 12(23), pages 1-30, November.
    20. Oleksandra Shepel & Jonas Matijošius & Alfredas Rimkus & Olga Orynycz & Karol Tucki & Antoni Świć, 2022. "Combustion, Ecological, and Energetic Indicators for Mixtures of Hydrotreated Vegetable Oil (HVO) with Duck Fat Applied as Fuel in a Compression Ignition Engine," Energies, MDPI, vol. 15(21), pages 1-24, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:271:y:2023:i:c:s0360544223004152. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.